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20212024
most citedSynthetic Data in Human Analysis: A Survey

16 citations · 20 across the 5 of their papers we have counts for

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cs.CV2024

Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction

Marcel Grimmer, Raymond N. J. Veldhuis, Christoph Busch

The recognition performance of biometric systems strongly depends on the quality of the compared biometric samples. Motivated by the goal of establishing a common understanding of…

cs.CV2023

NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality

Marcel Grimmer, Christian Rathgeb, Raymond Veldhuis +1

Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management. Therefore, it becomes crucial to quantify the qu…

cs.CV202216 cited

Synthetic Data in Human Analysis: A Survey

Indu Joshi, Marcel Grimmer, Christian Rathgeb +3

Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-iden…

cs.CV2022

Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data

Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2

The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using…

cs.CV20214 cited

Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors

Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2

Enabling highly secure applications (such as border crossing) with face recognition requires extensive biometric performance tests through large scale data. However, using real fac…